DSBD distills a dual-aligned structural basis to adapt GNNs across graphs with structural distribution shifts, outperforming prior methods on benchmarks.
Graph learning: A survey.IEEE Transactions on Artificial Intelligence, 2(2):109–127
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GraphReAct enables step-by-step graph inference by combining topological and semantic retrieval actions with context refinement in an LLM reasoning-acting loop, outperforming prior methods on six benchmarks.
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DSBD: Dual-Aligned Structural Basis Distillation for Graph Domain Adaptation
DSBD distills a dual-aligned structural basis to adapt GNNs across graphs with structural distribution shifts, outperforming prior methods on benchmarks.
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GraphReAct: Reasoning and Acting for Multi-step Graph Inference
GraphReAct enables step-by-step graph inference by combining topological and semantic retrieval actions with context refinement in an LLM reasoning-acting loop, outperforming prior methods on six benchmarks.